Claude prompt stack introduces a 5-step First Principles workflow for breakdowns and study prep
A creator-shared Claude prompt pack lays out a First Principles sequence, Feynman rewrite, assumption audit, and from-scratch rebuild prompts. Use it as a reusable prompt recipe for research and writing, not as an official Claude feature.

TL;DR
- A creator-shared thread opener packages Claude prompting as a reusable “First Principles” workflow, but the evidence shows a prompt recipe rather than any official Claude mode or shipped feature.
- The core move in activation prompt is to ask Claude to list assumptions, strip them away, and rebuild the topic from what is “fundamentally, provably true,” pushing it beyond a normal summary.
- The full 5-step stack turns that into a sequence: first-principles breakdown, a Feynman-style simplification pass, an assumption audit, a counterfactual stress test, and a from-scratch rebuild.
- Creator-facing use cases in example topics, business prompt, and study prompt focus on research, strategy, and learning prep rather than image generation or media output.
What is in the prompt stack
The workflow starts with the base prompt from the opening thread: break a topic into assumptions, remove them, and rebuild from only what can be defended. In the prompt text, the key instruction is “strip each assumption away,” which the author claims changes Claude from producing a polished conventional explanation to producing a more reductive one.
Step two adds a Feynman pass. In the add-on, Claude is told to explain the result to a 12-year-old, with no jargon and no assumed knowledge. Steps three through five in the full sequence then audit which assumptions a field treats as obvious, ask what happens if major assumptions fail, and finally ask how you would build the solution from zero using only the fundamentals already established.
Where the workflow is useful for creators
The strongest creator use here is pre-production thinking. In the examples, the author shows the stack on “how machine learning works,” compressing standard ML vocabulary into a simpler formulation about adjusting internal numbers until outputs match desired results. That is a research and explanation aid, not a claim about new Claude capabilities.
The adjacent variants are practical for planning work. The business version asks for the simplest direct path from problem to outcome after assumptions are removed, which fits positioning, product strategy, and concept development. The learning version asks Claude to surface five assumptions a field makes before you start studying, which could help writers, filmmakers, and designers frame interviews, briefs, or treatments before they dive into source material.